Web and Big Data
8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part I
Herausgegeben: Zhang, Wenjie; Tung, Anthony; Zheng, Zhonglong; Yang, Zhengyi; Wang, Xiaoyang; Guo, Hongjie
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The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30-September 1, 2024.The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.The papers are organized in the following topical sections:Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.Part III: Spatial and...
The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30-September 1, 2024.
The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.
The papers are organized in the following topical sections:
Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.
Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.
Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.
Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security
Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.
The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.
The papers are organized in the following topical sections:
Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.
Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.
Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.
Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security
Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.
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